Inference Research Intern — ML Systems & Foundations

Together Computer Inc; San Francisco (CA); On-site; USD 80,000 - 96,000; Part time

Benefits offered by this job

Housing stipend

Competitive compensation

Job summary

T Together AI is seeking a Research Intern in Inference for Winter 2027 in the United States. The role involves distributed inference, compiler-aware optimization, and cross-layer design across models, systems, and hardware to accelerate large foundation models.

This internship spans January 4 to April 9, offering hands-on collaboration with senior researchers. The cohort emphasizes rigorous experimentation, reproducible evaluation, and publication-worthy results, with compensation including a

Qualifications

• Bachelor's/Master's/PhD in CS, EE or related field (final year).
• Strong ML/DL fundamentals.
• Experience with DL frameworks (PyTorch, JAX, etc.).
• Strong Python programming skills.
• Familiarity with Transformer architectures and foundation models.

Responsibilities

• Design and conduct rigorous experiments to validate hypotheses.
• Communicate plans, progress, and results to the broader team.
• Document findings in publications and blog posts.

Skills

Python programming

Machine Learning fundamentals

Deep Learning

Transformer architectures

Education

Final year of Bachelor's/Master's/Ph.D. in CS/EE or related field

Tools

PyTorch

JAX

CUDA programming

Job description

T Together AI is seeking a Research Intern in Inference for Winter 2027 in the United States. The role involves distributed inference, compiler-aware optimization, and cross-layer design across models, systems, and hardware to accelerate large foundation models.

This internship spans January 4 to April 9, offering hands-on collaboration with senior researchers. The cohort emphasizes rigorous experimentation, reproducible evaluation, and publication-worthy results, with compensation including a